ABSTRACT
Trademarks and logos are used worldwide to represent companies, malls, shops and restaurants. It is one of the first visual symbols a company creates in the early stages of planning for this business. The logo must be unique and captures the idea of that business to make it easier for the common people to figure out what this business is about from the logo. With logos and trademarks details are very important where every element in the logo would make a difference including the colours used, shapes and fonts. Many efforts were made in last few years to detect, recognize or match similarities between logos; Moreover one of the major challenges faced was finding the correct dataset that include different local and international clear logos to test on . Thus, this paper presents a new dataset that would help in these types of machine learning project which provides 10K logo images with 2000 unique logo.
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